reversal

Library "reversals"

psar(af_start, af_increment, af_max)
  Calculates Parabolic Stop And Reverse (SAR)
  Parameters:
    af_start (simple float): Initial acceleration factor (Wilder's original: 0.02)
    af_increment (simple float): Acceleration factor increment per new extreme (Wilder's original: 0.02)
    af_max (simple float): Maximum acceleration factor (Wilder's original: 0.20)
  Returns: SAR value (stop level for current trend)

fractals()
  Detects Williams Fractal patterns (5-bar pattern)
  Returns: Tuple [up_fractal, down_fractal] with fractal values (na if no fractal)

swings(lookback, source_high, source_low)
  Detects swing highs and swing lows using lookback period
  Parameters:
    lookback (simple int): Number of bars on each side to confirm swing point
    source_high (float): Price series for swing high detection (typically high)
    source_low (float): Price series for swing low detection (typically low)
  Returns: Tuple [swing_high, swing_low] with swing point values (na if no swing)

pivot(tf)
  Calculates classic/standard/floor pivot points
  Parameters:
    tf (simple string): Timeframe for pivot calculation ("D", "W", "M")
  Returns: Tuple [pp, r1, r2, r3, s1, s2, s3] with pivot levels

pivotcam(tf)
  Calculates Camarilla pivot points with 8 levels for short-term trading
  Parameters:
    tf (simple string): Timeframe for pivot calculation ("D", "W", "M")
  Returns: Tuple [pp, r1, r2, r3, r4, s1, s2, s3, s4] with pivot levels

pivotdem(tf)
  Calculates d-mark pivot points with conditional open/close logic
  Parameters:
    tf (simple string): Timeframe for pivot calculation ("D", "W", "M")
  Returns: Tuple [pp, r1, s1] with pivot levels (only 3 levels)

pivotext(tf)
  Calculates extended traditional pivot points with R4-R5 and S4-S5 levels
  Parameters:
    tf (simple string): Timeframe for pivot calculation ("D", "W", "M")
  Returns: Tuple [pp, r1, r2, r3, r4, r5, s1, s2, s3, s4, s5] with pivot levels

pivotfib(tf)
  Calculates Fibonacci pivot points using Fibonacci ratios
  Parameters:
    tf (simple string): Timeframe for pivot calculation ("D", "W", "M")
  Returns: Tuple [pp, r1, r2, r3, s1, s2, s3] with pivot levels

pivotwood(tf)
  Calculates Woodie's pivot points with weighted closing price
  Parameters:
    tf (simple string): Timeframe for pivot calculation ("D", "W", "M")
  Returns: Tuple [pp, r1, r2, r3, s1, s2, s3] with pivot levels